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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology -  Hamid R Arabnia,  Quoc Nam Tran

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology (eBook)

Algorithms and Software Tools
eBook Download: PDF | EPUB
2015 | 1. Auflage
670 Seiten
Elsevier Science (Verlag)
978-0-12-802646-5 (ISBN)
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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. - Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. - Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

Hamid R. Arabnia is currently a Full Professor of Computer Science at University of Georgia where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications in Computational Science and Computational Intelligence (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of is Associate Editor of IEEE Transactions on Information Technology in Biomedicine . He has over 300 publications (journals, proceedings, editorship) in his area of research in addition he has edited two titles Emerging Trends in ICT Security (Elsevier 2013), and Advances in Computational Biology (Springer 2012).
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. - Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. - Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

Contributors


Vida Abedi     The Center for Modeling Immunity to Enteric Pathogens, and Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA

Ruben Acuña     Scientific Data Management Laboratory, Arizona State University, Tempe, AZ, USA

Mohammad Ayache     Islamic University of Lebanon, Khaldeh, Lebanon

Mahmood Bahar     Department of Physics, Islamic Azad University, Tehran North Branch, Tehran, Iran

Azita A. Bahrami     IT Consultation, Savannah, GA, USA

Josep Bassaganya-Riera     The Center for Modeling Immunity to Enteric Pathogens, and Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA

Christian Baumgartner     Institute of Electrical and Biomedical Engineering, UMIT, Hall in Tirol, and Institute of Heath Care Engineering with European Notified Body of Medical Devices, Graz University of Technology, Graz, Austria

Paul Bejjani     Associate Professor of Neurology, Director of the Parkinson's Disease and Memory Center, Notre Dame de Secours Hospital, Byblos, Lebanon

Christian Berger-Vachon

INSERM U1028, Lyon Neuroscience Research Center, DYCOG Team/ PACS Group (Speech, Audiology, Communication Health)

CNRS UMR5292, Lyon Neuroscience Research Center, DYCOG Team/ PACS Group (Speech, Audiology, Communication Health), and University Lyon 1, Lyon, France

Jonathan Berkhahn     Department of Computer Science, Virginia Tech, Blacksburg, VA, USA

Michael Berry     South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa

H.B. Çakmak     Yıldırım Beyazıt University, Atatürk Education and Research Hospital, Ankara, Turkey

E. Çalık     Karabük University, School of Health Sciences, Karabük, Turkey

A. Çavuşoğlu     Scientific and Technological Research Council of Turkey, Ankara, Turkey

Adria Carbo     BioTherapeutics Inc., Blacksburg, VA, USA

Steven M. Carr

Department of Biology, Memorial University of Newfoundland

Department of Computer Science, Memorial University of Newfoundland, and Terra Nova Genomics, Inc., St. John's NL, Canada

Gloria Castellano     Departamento de Ciencias Experimentales y Matemáticas, Facultad de Veterinaria y Ciencias Experimentales, Universidad Católica de Valencia San Vicente Mártir, València, Spain

QinQun Chen     School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou, China

Xiumin Chen     Department of Rheumatology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China, and Postdoctoral Mobile Research Station, Guangzhou University of Chinese Medicine, Guangzhou, China

Jacques Chomilier

IMPMC, Sorbonne Universités, Université Pierre et Marie Curie, CNRS, MNHN, IRD, Paris, France

RPBS, Université Paris Diderot, Paris, France

Donald Craig     eHealth Research Unit (Faculty of Medicine), Memorial University of Newfoundland, St. John's NL, Canada

Andreas Dander     Division for Bioinformatics, Biocenter, Innsbruck Medical University, Innsbruck, Austria

H. Dawn Marshall     Department of Biology, Memorial University of Newfoundland, St. John's NL, Canada

Leonidas Deligiannidis     ElderSafe Technologies, Inc., Harvard, MA, USA

J. Demongeot     Université J. Fourier Grenoble, Faculté de Médecine, AGIM CNRS/UJF FRE 3405, La Tronche, France

Luis R. Domingo     Departamento de Química Orgánica, Universidad de Valencia, Burjassot, Valencia, Spain

Andrei Doncescu     University Paul Sabatier – INSERM – CNRS, CRCT, France

Zhong-Hui Duan     Department of Computer Science, College of Arts and Sciences, University of Akron, Akron, USA

Abbass Zein Eddine     Laboratory of GREAH (Groupe de Recherche en Electrotechnique et Automatique), University of Le Havre, Le Havre, France

Behrouz H. Far     Department of Electrical and Computer Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada

Joaquim Cezar Felipe     Department of Computing and Mathematics, Faculty of Philosophy, Sciences, and Languages of Ribeirão Preto, University of São Paulo at Ribeirão Preto, Brazil, Ribeirão Preto, SP, Brazil

C. Ferrer     Departament de Microelectrònica i Sistemes Electrònics, Universitat Autònoma de Barcelona, and Institut de Microelectrònica de Barcelona (CNM-CSIC), Bellaterra (Barcelona), Spain

Burtram Fielding     Department of Medical Biosciences, University of the Western Cape, Cape Town, South Africa

Junaid Gamieldien     South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa

Dan Gnansia     Neurelec, Vallauris, France

Thomas Goulding     Department of Mathematics and Computer Science, Lawrence Technological University, Southfield, MI, USA

D. Graveron-Demilly     Laboratoire CREATIS-LRMN, CNRS UMR 5220, Inserm U630, Université Claude Villeurbanne, France

François Guerin     Laboratory of GREAH (Groupe de Recherche en Electrotechnique et Automatique), University of Le Havre, Le Havre, France

Michael Handler     Institute of Electrical and Biomedical Engineering, UMIT, Hall in Tirol, Austria

Mohammad Shabbir Hasan     Department of Computer Science, College of Arts and Sciences, University of Akron, Akron, USA

Ray R. Hashemi     Department of Computer Science, Armstrong State University, Savannah, GA, USA

H. Hazgui     Université J. Fourier Grenoble, Faculté de Médecine, AGIM CNRS/UJF FRE 3405, La Tronche, France

Wei He     The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China

A. Henrion Caude     Université Paris Descartes, INSERM U 781, Hôpital Necker-Enfants Malades, Paris, France

Raquel Hontecillas     The Center for Modeling Immunity to Enteric Pathogens, and Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA

Stefan Hoops     The Center for Modeling Immunity to Enteric Pathogens, and Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, USA

Arnaud Jeanvoine

INSERM U1028, Lyon Neuroscience Research Center, DYCOG Team/ PACS Group (Speech, Audiology, Communication Health)

CNRS UMR5292, Lyon Neuroscience Research Center, DYCOG Team/ PACS Group (Speech, Audiology, Communication Health), Lyon, and Neurelec, Vallauris, France

V. Kantabutra     Department of Electrical Engineering, Idaho State University, Pocatello, USA

Lina J. Karam     School of Electrical,...

Erscheint lt. Verlag 11.8.2015
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Biologie
ISBN-10 0-12-802646-4 / 0128026464
ISBN-13 978-0-12-802646-5 / 9780128026465
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